Assistive technology Study Guide

📖 Core Concepts Assistive Technology (AT): Devices or systems that help people with disabilities perform activities of daily living (ADLs) – toileting, mobility, eating, bathing, dressing, grooming, personal device care. Adaptive Technology: Sub‑set of AT designed exclusively for disabled users, often electronic/IT accessibility solutions (screen‑readers, custom input devices). Occupational Therapy (OT): Uses everyday occupations to improve participation; OT professionals match client goals with AT. Key OT Frameworks: HAAT – Human Activity Assistive Technology model. I‑HAAT – Interdependence‑HAAT model. SETT – Student, Environment, Tasks, Tools. Conventional vs. Emerging AT: Conventional – Established products on WHO Priority List/ISO 9999 (wheelchairs, hearing aids). Emerging – “Smart” features, connectivity, AI, IoT, AR/VR, additive‑manufactured components. Technology Readiness Levels (TRLs): Scale from concept → proof of concept → minimum viable product → commercial product; most advanced prosthetic and wheelchair controls are near full commercialization. 📌 Must Remember AT purpose: Increase independence, social participation, security; lower institutional costs without large household expense rise. Device categories: Mobility: manual/electric wheelchairs, walkers/rollators, transfer devices, body‑weight‑supported treadmills, prostheses, exoskeletons, adaptive seating. Vision: screen readers, OCR, refreshable braille displays, video magnifiers, screen‑magnification software, large‑print/tactile keyboards, navigation aids. Hearing: hearing aids (digital, in‑ear, BTE, body‑worn), assistive listening devices (FM/IR/induction loop), amplified telephone equipment. Cognition/Communication: AAC devices (low‑tech picture boards → high‑tech speech‑generators), educational software (text‑to‑speech, word‑prediction), smart‑home voice control. Classification of AT devices: Low‑tech: no power, e.g., paper‑pencil grips, color overlays. Mid‑tech: portable word processors, handheld dictionaries. High‑tech: tablets, computers, cloud‑based software. Emerging enabling tech: AI (predictive assistance), IoT (device‑to‑device communication), advanced sensors, 3‑D printed custom sockets, robotics (exoskeletons, therapeutic arms), AR/VR (navigation, rehab). Regulatory: AT classified as medical devices must obtain clearance (FDA, CE) before market entry. 🔄 Key Processes AT Assessment (OT/OT‑Assistive Match): Identify client needs → evaluate environment → define tasks → select tools (SETT). Device Selection Flow: Determine ADL/Instrumental ADL need → Choose technology tier (low → mid → high) → Apply framework (HAAT/I‑HAAT) → Verify fit and training. Prosthetic/Orthotic Customization (Additive Manufacturing): Scan residual limb → design socket in CAD → 3‑D print using flexible polymer → fit & adjust → train user. Smart Exoskeleton Operation: Sensors detect user intent → AI algorithm predicts gait phase → actuators deliver assistive torque → feedback loop refines support. 🔍 Key Comparisons Assistive vs. Adaptive Technology Assistive: Broad category (any device aiding a disability). Adaptive: Sub‑category, rarely used by nondisabled, focuses on IT accessibility. Manual Wheelchair vs. Power Wheelchair Manual: user‑propelled, lower cost, requires upper‑body strength. Power: motor‑driven, higher cost, essential for limited strength or severe mobility loss. Walker vs. Rollator Walker: frame with optional front wheels, may need caregiver assistance. Rollator: three‑ or four‑wheel walker with brakes, seats, and often a basket. Conventional Hearing Aid vs. Emerging Environment‑Controlling Hearing Aid Conventional: static amplification. Emerging: AI‑driven automatic gain adjustment based on ambient noise. Screen Reader vs. Screen Magnifier Reader: converts text to audio/refreshable braille (for total vision loss). Magnifier: enlarges visual content (for low vision). ⚠️ Common Misunderstandings “All AT is high‑tech.” Many effective AT are low‑ or mid‑tech (paper‑based AAC, color overlays). “Adaptive = Assistive.” Adaptive is a subset; not every assistive device is adaptive. “More features = better adoption.” Over‑complexity raises training burden; simplicity drives acceptance. “Prostheses are only mechanical.” Modern prostheses integrate AI, sensors, and robotics for myoelectric control. “Patents guarantee market success.” Patent filing often precedes lengthy regulatory and usability testing; many never reach commercial status. 🧠 Mental Models / Intuition “Fit‑Fit‑Fit” Model: Fit the user → fit the task → fit the environment. If any “fit” is weak, adoption drops. “Layered Technology Pyramid”: Low‑tech (foundation) → Mid‑tech (adds power) → High‑tech (adds connectivity/AI). Think of building a house: you need a solid base before adding smart features. “Signal → Decision → Action Loop” (for smart AT): Sensors collect data → AI decides the best assistance → actuators execute → feedback refines the next cycle. 🚩 Exceptions & Edge Cases Body‑Weight‑Supported Treadmill: Only indicated after neurological injury with sufficient trunk control; not for severe spasticity. Voice‑Activated Smart‑Home Devices: Ineffective for users with speech impairments or severe aphasia. Screen Readers + OCR: OCR works only on high‑contrast, printed text; handwritten notes may require manual transcription. Exoskeletons: Weight and battery life limit prolonged outdoor use; primarily clinical or controlled‑environment tools. 📍 When to Use Which Mobility Aid Choice: Needs balance support only → walker/rollator. Cannot ambulate independently → wheelchair (manual if upper‑body strength present; power otherwise). Vision Aid Selection: Total blindness → screen reader + refreshable braille. Low vision → screen magnifier or video magnifier. Hearing Aid vs. Assistive Listening Device: General speech amplification → hearing aid. Classroom or theater where distance/focus is an issue → FM/IR/loop system. AT Tier Decision: Budget‑constrained, simple need → low‑tech. Need portability & moderate functionality → mid‑tech. Complex interaction, data connectivity, AI → high‑tech. 👀 Patterns to Recognize “Smart” Flag: Presence of AI, IoT, or sensor feedback usually indicates an emerging device. “Regulatory” Cue: Devices labeled “implantable,” “invasive,” or “medical‑device class II/III” will have longer market timelines. “User‑Centric” Language: Mentions of “participation impact,” “ease of adoption,” or “user comfort” point to higher adoption likelihood. Patent Clusters: When multiple patents appear in a single category (e.g., mobility + sensing), expect rapid emerging‑tech development there. 🗂️ Exam Traps Confusing “Assistive” with “Adaptive.” Remember adaptive ⟹ subset focused on IT accessibility. Assuming all wheelchairs are powered. Many exam items differentiate manual vs. powered based on user strength. Mix‑up between screen readers and magnifiers. One converts to audio/braille; the other enlarges visual display. Over‑generalizing “Emerging” as “Better.” Emerging tech may lack proven efficacy or regulatory clearance. Equating “low‑tech” with “ineffective.” Low‑tech solutions often have the highest adoption rates for simple needs. --- Use this guide to quickly recall the big ideas, decide which technology fits a given client scenario, and spot common distractors on the exam.